GENDER RECOGNITION AND AGE DETECTION USING HUMAN FACIAL FEATURES

One of the active study fields in recent years is extraction information from human face. Numerous investigations on identification most prevalent face variety, including age and gender, have been done. The approach for automatically determining a person's gender their suggested this paper based convolutional neural networks support vector machines. four steps method are detection, pre-processing, feature extraction, classification. A variety trained to detect faces live feed also determine part our system. Our model was using Adience benchmark dataset prediction available Kaggle, which has produced positive results. Keywords: Convolution network, Support Vector Machine, Face Detection, Multi-Task Cascaded Neural Networks, Principal Component Analysis, dataset.